"""Issue_formater for clang-tidy in codeclimate (inspired from cpp-check)."""

__author__ = "Nicolas Richart"
__credits__ = [
    "Nicolas Richart <nicolas.richart@epfl.ch>",
]
__copyright__ = "Copyright (©) 2018-2021 EPFL (Ecole Polytechnique Fédérale" \
                " de Lausanne) Laboratory (LSMS - Laboratoire de Simulation" \
                " en Mécanique des Solides)"
__license__ = "LGPLv3"

import hashlib
import os


class IssueFormatter:
    CLASSIFICATIONS = {
        'bugprone': {
            'categories': ['Bug Risk'],
            'severity': 'major',
        },
        'modernize': {
            'categories': ['Clarity', 'Compatibility', 'Style'],
            'severity': 'info'
        },
        'mpi': {
            'categories': ['Bug Risk', 'Performance'],
            'severity': 'critical',
        },
        'openmp': {
            'categories': ['Bug Risk', 'Performance'],
            'severity': 'critical',
        },
        'performance': {
            'categories': ['Performance'],
            'severity': 'minor',
        },
        'readability': {
            'categories': ['Clarity', 'Style'],
            'severity': 'info'
        },
    }

    def _get_classifiaction(self, type_):
        categories = ['Bug Risk']
        severity = 'blocker'

        if type_ in self.CLASSIFICATIONS:
            categories = self.CLASSIFICATIONS[type_]['categories']
            severity = self.CLASSIFICATIONS[type_]['severity']
        elif type_[0] == 'clang':
            if type_[1] == 'diagnostic':
                categories = ['Bug Risk']
                severity = 'blocker'
            elif type_[1] == 'analyzer':
                categories = ['Bug Risk']
                severity = 'major'

        return (categories, severity)

    def __init__(self, issue):
        self.issue_dict = issue

    def format(self):
        self.issue_dict['file'] = os.path.relpath(self.issue_dict['file'])
        issue = {
            'type': 'issue',
            'check_name': self.issue_dict['type'],
            'description': self.issue_dict['detail'],
            'location': {
                "path": self.issue_dict['file'],
                "lines": {
                    "begin": int(self.issue_dict['line']),
                    "end": int(self.issue_dict['line']),
                },
                "positions": {
                    "begin": {
                        "line": int(self.issue_dict['line']),
                        "column": int(self.issue_dict['column']),
                    },
                    "end": {
                        "line": int(self.issue_dict['line']),
                        "column": int(self.issue_dict['column']),
                    },
                },
            },
        }

        if 'content' in self.issue_dict:
            issue['content'] = {
                'body': '```\n' +
                '\n'.join(self.issue_dict['content']) +
                '\n```'
            }

        issue['fingerprint'] = hashlib.md5(
            '{file}:{line}:{column}:{type}'.format(**self.issue_dict).encode()
        ).hexdigest()

        type_ = self.issue_dict['type'].split('-')[0]
        issue['categories'], issue['severity'] = \
            self._get_classifiaction(type_)

        return issue